Introduction to Natural Language Processing: Concepts and Fundamentals for Beginners

September 30, 2018

***** BUY NOW (will soon return to 12.99 $) *****

Are you thinking of learning more about Natural Language Processing (NLP)? (For Absolute Beginners)

This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions.This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using ¨NLP.

From AI Sciences Publisher

Our books may be the best one for beginners; it’s a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations.

Target Users

The book designed for a variety of target audiences. The most suitable users would include:

Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field.

Software developers and engineers with a strong programming background but seeking to break into the field of Data Science and NLP.

Seasoned professionals in the field of artificial intelligence and machine learning who desire a bird’s eye view of current techniques and approaches.

What’s Inside This Book?

Introduction to Natural Language Processing

What is Natural Language Processing

Perspectivizing NLP: Areas of AI and Their Interdependencies

Purpose of Natural Language Processing

Text Manipulation

Tokenization

Stemming

Lemmatization

Normalization

Accessing Text Corpora and Lexical Resources

Processing Raw Text

Categorizing and Tagging Words

NLP Applications

Text Classification

Sentiment Classification

Topic Modelling

Question Answering

Speech Recognition

Machine Translation

Word Representation

Bag of Words

One-Hot Encoding

Word Vectors Representation

Word2Vec and GloVe

Learning to Classify Text

Supervised Classification

Decision Trees

Naive Bayes Classifiers

Maximum Entropy Classifiers

Deep Learning for NLP

What is Deep Learning

Feed Forward Neural Networks

Recurrent Neural Networks

Gated Recurrent Unit

Long Short Term Memory

Frequently Asked Questions

Q: Is this book for me and do I need programming experience?A: If you want to smash NLP concepts and Fundamentals for Beginners from scratch, this book is for you. No need for any coding experience.

Q: Does this book include everything I need to become a NLP expert?A: Unfortunately, no. This book is designed for readers taking their first steps in NLP and further learning will be required beyond this book to master all aspects of NLP.

Q: Can I have a refund if this book doesn’t fit for me?A: Yes, Amazon refund you if you aren’t satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email (look inside the book sample).